United States Department of Transportation
i
Real-Time Data Capture and Management Evaluation and Performance Measures : Evaluation Framework
-
2011-09-01
[PDF-3.20 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
-
Abstract:Through connected vehicle research, the U.S. DOT Intelligent Transportation Systems Joint Program Office (ITS JPO)
is leading an effort to assess the potential for systematic and dynamic data capture from vehicles, travelers and the
transportation system infrastructure to enhance current operational practices and transform future surface
transportation systems management. The crosscutting Real-Time Data Capture and Management (DCM) Program is
the vehicle for this important effort.
The purpose of the Real-Time Data Capture and Management Evaluation and Performance Measures project is
twofold: 1) To identify a set of performance measures that can be used to evaluate data sets and data environments
that are developed during Phase II (Research) of the DCM program; and 2) To develop an evaluation framework to
quantify the benefits of the data sets and data environments developed through the program. This project will support
the evaluation of quantitative and qualitative benefits from research conducted as part of Phase II the DCM Program.
The measures and framework may be refined in Phase II (Research) and further tested in Phase III (Implementation) of
the DCM Program.
The Evaluation Framework is comprised of the following steps:
Step 1. Establish the scope and timing for the evaluation.
Step 2. Develop a logic model for the evaluation.
Step 3. Identify evaluation questions to be answered as part of the evaluation.
Step 4. Select performance measures.
Step 5. Establish data collection parameters and collect data.
Step 6. Calculate results for performance measures.
Step 7. Set data quality targets.
Step 8. Assess benefit/cost.
Step 9. Summarize evaluation results.
Step 10. Complete the feedback cycle.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
